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Statistical Analyst Jobs in Wisconsin (NOW HIRING)

Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R). * Experience with statistical analysis languages (ex: R, Python, SQL). * Experience on using the cloud ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Senior Financial Analyst

Marshfield, WI

$85K - $106K/yr

... Analyst role is the collaboration with managers, directors, and senior leadership on monthly ... Maintains various departmental statistical and financial data. Projects may include evaluation of ...

Statistical/analytical analysis in healthcare field and/or analysis of claims data preferred. Competencies: * Able to adjust to changing priorities and meet deadlines. * Strong presentation skills ...

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Statistical Analyst information

See Wisconsin salary details

$30.3K

$71.1K

$118.6K

How much do statistical analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for statistical analyst in Wisconsin is $71,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $81,800.00 per year, depending on experience, location, and employer.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

What are the most commonly searched types of Statistical Analyst jobs in Wisconsin?

The most popular types of Statistical Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Statistical Analyst jobs?

Cities in Wisconsin with the most Statistical Analyst job openings:

What are popular job titles related to Statistical Analyst jobs in WI?

For Statistical Analyst jobs in WI, the most frequently searched job titles are:

Infographic showing various Statistical Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $71,109 per year, or $34.2 per hour.

Energy Policy Statistical Analyst

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Are you ready to use your problem-solving and analytics skills to help key energy stakeholders develop an actionable path to a safe, reliable, equitable, and carbon-free electric grid?

Are you passionate about learning from the experts in the industry while applying your unique, experimental, and innovative ideas to develop the industry's next generation of inspiring solutions?

DNV - Energy Systems' Analytics and Digitalization group is seeking an Energy Policy Statistical Analyst to join our team. Join our team as we conduct research to understand the impacts and optimize the strategies of utility-scale energy efficiency, demand response, and distributed energy resource programs. This role will involve strategic problem solving by synthesizing your skills in analytics, statistics, programming, data visualization, and awareness of industry-relevant topics, to develop on-point analyses, reports, and presentations.

This position is based out of our Madison, WI office, although it is possible that it can be filled out of the following DNV offices: Portland, OR, Portland, ME, North Andover, MA, Medford, MA, Oakland, CA, or New York, NY, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process.

What You'll Do

This role will include a mixture of analytics, task management, and communication responsibilities. Below we include a list of a wide range of typical job expectations for this position, however the role can be flexible and versatile.

Analytics

  • Apply your deep curiosity to a diverse and expanding set of technical challenges that will support the transition to a decarbonized grid.
  • Clean and prepare large datasets for analysis.
  • Proactively check all work for errors.
  • Develop and implement study designs using RCT and RED methods.
  • Apply matched comparison algorithms.
  • Design survey samples and perform post-survey analysis of results to provide statistically valid insights.
  • Estimate site-level and panel energy consumption regression models using time of week and temperature, change point, or other models for thousands of customers.
  • Develop short-term  and long-term impact results across multiple population characteristics.
  • Conduct other ad-hoc regression, statistics, algebraic, and numerical calculation tasks to aid in determining impact of demand response and energy efficiency programs.
  • Follow analytical trends in the energy industry.
  • Maintain existing programmed analyses and identify potential improvements to be made.
  • Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve.
  • Take ownership for the quality and reliability of AI-assisted work by reviewing outputs for accuracy, bias, and fit before using them. 

Task Management

  • Design quantitative and qualitative analyses to answer customer questions within time, scope, and budget constraints. 
  • Communicate proactively with project managers, subject matter experts, and other team members to ensure that tasks are completed within the project requirements.

Behavior and Communication

  • Contribute to reports and presentations by writing concise methods, key findings, and recommendations.
  • Communicate proactively and effectively with staff of all levels to find information, learn new skills, troubleshoot problems, and address complex issues.
  • Present and write about the technical information in a meaningful and impactful manner to a range of stakeholders and clients.
  • Develop and maintain positive relationships with colleagues and clients.
  • Self-manage to ensure quality results are delivered for each task, including ensuring the best methods are used, methods are used correctly, results are correct and logical, and tasks are performed on time.
     

What is Required

Please submit a 1-page cover letter along with your resume when applying. In your cover letter, please describe a research project in which you have participated. Briefly describe your role, research approach, results, and how you shared the results.

  • Bachelor's degree in economics, statistics, quantitative social science, or other analytical discipline. 
  • Upto 2 years of relevant professional experience, including internships, co-op assignments, or equivalent experience applying statistical skills to challenging data problems and demonstrated ability to communicate empirical work effectively to a wide range of audiences.
  • A proven grasp of one or more programming or statistics software languages such as Python, SAS, or R.
  • Econometrics, statistics, or biostatistics coursework or experience, preferably at the graduate level.
  • Strong written and verbal English communication skills.
  • We conduct pre-employment drug and background screening.

What is Preferred

  • Master's degree preferred.
  • Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve

*Immigration-related employment benefits, for example visa sponsorship, are not available for this position*

 
  • Generous paid time off (vacation, sick days, company holidays, personal days)
  • Multiple Medical and Dental benefit plans to choose from, Vision benefits
  • Spending accounts - FSA, Dependent Care, Commuter Benefits, company-seeded HSA
  • Employer-paid, therapist-led, virtual care services through Talkspace
  • 401(k) with company match
  • Company provided life insurance, short-term, and long-term disability benefits
  • Education reimbursement program
  • Flexible work schedule with hybrid opportunities
  • Charitable Matched Giving and Volunteer Rewards through our Impact Program
  • Volunteer time off (VTO) paid by the company
  • Career advancement opportunities 

**Benefits vary based on position, tenure, location, and employee election**

DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the states of California, Connecticut, Illinois, Maine, Massachusetts, New Jersey, New York, Virginia and Washington only, the starting pay range for this role is $76,000 - $98,000. 

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially. 

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